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Data Privacy Day: Protecting the integrity and privacy of the customer information is pivotal

by MN4U Bureau
January 30, 2024
in Exclusive, Featured, Mobile/Digital
Reading Time: 2 mins read
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Data Privacy Day: Protecting the integrity and privacy of the customer information is pivotal
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January 28th was celebrated as Data Privacy Day. It holds paramount importance in an age where our lives are intricately intertwined with the digital world. The primary objective of the day is to reinforce and remind everyone of the importance of privacy. The digital landscape is a testament to both the incredible opportunities and the escalating risks that come with our interconnected world. In an era where data shapes our daily lives, this occasion serves as a poignant reminder to scrutinize the critical importance of protecting our personal information.

“There’s no doubt privacy is not just a priority but a necessity. The objective of Data Privacy Day is twofold- a reminder for organizations to embrace a more structured strategy regarding AI to counter new threats and for users to understand the power to protect personal data,” observes Balaji Rao, Area Vice President, India & SAARC, Commvault.

“As we observe Data Privacy Day, it is imperative to reflect on the ever-growing importance of safeguarding sensitive information in our digital landscape. Currently, India ranks among the top three most targeted APAC countries for cybercrimes, with the prominent factor being the surge in Generative AI. A study conducted by PWC reveals that nearly half of the respondents fear the consequences of a cyber-attack, foreseeing potential losses in customer data and revenue. The increase in AI-powered cyber-attacks in India raises substantial concerns, highlighting the urgency for organizations to redirect their focus toward data governance and privacy,” said Rao.

According to Rao, In today’s era dominated by generative AI, integrating AI with data protection is imperative for solidifying cyber resiliency, and enabling faster and more precise threat detection.

“Effective data security serves as the bedrock of data privacy and leaders must recognize that security needs to be seamlessly integrated into every facet of their operations. As we navigate the digital landscape, let us collectively uphold a resilient architecture that extends visibility, ensuring that data privacy remains a steadfast commitment, safeguarding the trust of customers and the integrity of organizations,” he adds.

“Commitment to harnessing the power of data goes hand in hand with ensuring data privacy. In the age of digital acceleration, where data fuels every decision, protecting the integrity and privacy of the customer information entrusted with enterprises is pivotal, ”observes Jayaprakash Nair, Senior Engineering Leader- Data Science, Altimetrik.

According to Nair, the surge in sophisticated data breaches and AI-powered cyber-attacks highlights the urgent need for comprehensive data security and privacy measures.

As per a popular study, global consumers distrusting tech companies managing their personal data has risen to 48 pc in 2023. Organizations are bound by legal obligations and are responsible for fortifying defenses and implementing proactive strategies to protect sensitive data. Prioritizing stakeholder privacy is a central focus, realized through a comprehensive, proactive, and risk-based data privacy strategy.

“The objective of Data Privacy Day encompasses two key aspects. It aims for every user to recognize their right and capability to safeguard and oversee their personal data. Additionally, it emphasizes the importance of organizations understanding the reasons for safeguarding and securing their customers’ data, including Personally Identifiable Information (PII). Achieving harmony between innovation and data protection demands collaborative efforts from industry stakeholders, policymakers, and an informed public,” Nair concludes.

Feedback: [email protected]

Tags: AIAltimetrikArtificial IntelligenceBalaji RaoCommvaultData PrivacyData Privacy DayJayaprakash Nair

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